Comments URL: https://news.ycombinator.com/item?id=50199325

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=49913443

Points: 7

# Comments: 4

The fact that Europe has incredibly limited frontier chip making capability is the issue, though. Even if they can produce other chips, its position is not at all resilient.

[1] https://www.bloomberg.com/news/articles/2026-09-22/asml-exec...

Comments URL: https://news.ycombinator.com/item?id=49720994

Points: 3

# Comments: 1

> In any case, even the noise worry is overstated: many viral videos of supposed AI data centre noise are really Bitcoin mines, not state-of-the-art hyperscaler facilities.

Are there really major differences between a hyperscaler, neocloud, and crypto mining data center in terms of noise pollution or other negative effects?

Comments URL: https://news.ycombinator.com/item?id=49566521

Points: 3

# Comments: 0

Anecdotally, I feel like the second-time founders see VC as a very specific tool and many prefer not to raise... They'd rather bootstrap and scale more slowly, retaining control, freedom, and flexibility. Granted, a lot of founders also have bad experiences with VCs.

I think your framing VC as a tool is the right one. Not sure if first-time founders are still like this, but ~15 years ago, it seemed like raising VC funding was validation in and of itself and you were perceived as successful due to the raise. The second-time folks know this is neither validation of your product nor is it any sort of guarantee of success... If you need to raise lots of money to capture a speculative market or build something that won't see revenue for a while, VC is great. If you want to build a decent business that grows 20% to 30% per year and compounds over decades, then maybe it's not for you.

Finally, VC is a broad category. Raising money from former founders or from strategic VCs who can legitimately mentor you is very different than getting a check from a fund that makes 100s of investments per year and simply manages you as an arms length portfolio entry.

Comments URL: https://news.ycombinator.com/item?id=49539611

Points: 2

# Comments: 0

I use GLM-5.3, Qwen3.8, Claude (all of 'em), GPT Sol/Luna/Terra across direct API calls + local models where I can (128GB Macbook Pro)... The harness and whether the model or underlying system prompts know how to make the best use of iterative LLM calls makes such a big difference...

For example: one-off articles on a news topic (e.g., "Update me on the US-Canada relations") yields very similar results across all models... But "run a web search, write a draft perspective from three points of view, and structure data around it" will make everything but Claude + GPT struggle.

https://www.bloomberg.com/news/articles/2026-08-20/meta-has-...

Comments URL: https://news.ycombinator.com/item?id=49453762

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=49437110

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=49401135

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=49396436

Points: 2

# Comments: 0

...

> “Over our nearly thirty-six-year history, we have prided ourselves on being front-footed and proactive during periods of market dislocation,” Griffin wrote. The firm’s flagship fund was up 6 per cent in July, while many of its rivals lost money or were relatively flat.

Comments URL: https://news.ycombinator.com/item?id=49391570

Points: 4

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=49332101

Points: 2

# Comments: 0

But refrain from unfounded allegations of AI slop or incompetence. Gatekeeping is even worse.

EDIT: you keep editing your comments. I'm going to stop engaging with you since one can't even have a linear discussion. Good luck with your research and ideas. If you are an expert on Japan, I encourage you to share your views in the general comments here.

I see you edited your comment. Yes, we use LLMs to monitor news --- otherwise we wouldn't be able to read Japanese news sites or policy documents. However, the articles and analysis are written "manually". I take this very seriously --- the only "AI" is spelling + grammar checking.